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Stack-based static WebAssembly binary slicing and mutation for generating valid sub-binaries.

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Summary
This summary is machine-generated.

This study introduces algorithms to automatically generate diverse and valid WebAssembly (Wasm) sub-binaries. These methods address the need for varied Wasm binaries for security verification, overcoming limitations of collecting real-world samples.

Keywords:
MutationProgram slicingStatic analysisWebAssembly

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Area of Science:

  • Computer Science
  • Software Engineering
  • Cybersecurity

Background:

  • WebAssembly (Wasm) enables high-performance applications in browsers and other environments.
  • Security verification of Wasm execution environments is crucial due to its expanding use.
  • Collecting diverse Wasm binaries from the wild for verification is challenging and limited.

Purpose of the Study:

  • To develop automatic generation techniques for valid and semantically rich WebAssembly binaries.
  • To address the need for diverse Wasm binaries for effective security verification.
  • To overcome limitations of real-world Wasm binary collection.

Main Methods:

  • Extraction of closure slices from a base WebAssembly binary using static program slicing.
  • Application of a stack balance correction algorithm to ensure syntactic validity of functions.
  • Assembly of generated functions into complete binaries, enhanced with instruction-level mutation for diversity.

Main Results:

  • Proposed algorithms successfully generate valid and semantically rich WebAssembly sub-binaries.
  • Techniques ensure syntactic completeness and introduce diversity through instruction-level mutation.
  • Experimental evaluation demonstrates the effectiveness and efficiency of the generation algorithms.

Conclusions:

  • The developed algorithms offer a promising solution for automatically generating diverse WebAssembly binaries.
  • This approach facilitates more robust security verification of WebAssembly execution environments.
  • The method overcomes the limitations of relying solely on real-world Wasm binary samples.